Systems and methods for generating insurance policies with predesignated policy levels and reimbursement controls

ABSTRACT

A computer system for providing reimbursement controls to insurance policies is provided. The computer system may include a processor in communication with a memory device. The processor may be configured to: (i) generate a plurality of predesignated policy levels having a maximum reimbursement amount for a user based at least in part upon user data, (ii) prompt the user to select a predesignated policy level of the plurality of predesignated policy levels that includes an insurance policy covering one or more item categories up to the associated maximum reimbursement amount, (iii) store the selected predesignated policy level, (iv) receive a claim from the user, (v) determine, in response to the claim and based at least in part upon the selected predesignated policy level and the associated maximum reimbursement amount, an actual reimbursement amount for each insured item category of the one or more item categories, and (vi) provide a payment device to the user having reimbursement controls that provide the actual reimbursement amount by insured item category.

FIELD OF THE DISCLOSURE

The present disclosure relates to applying reimbursement controls toinsurance policies, and more particularly, to computer-based systems andmethods allowing a user to select an insurance policy with correspondingreimbursement controls from a plurality of predesignated policy levelsand in response to a claim event, providing restricted access toreimbursement funds according to the selected insurance policy of theuser.

BACKGROUND

At least some known insurance policies (e.g., renter's insurance, rentalinsurance, homeowner's insurance, and/or property insurance) providecoverage for the loss of and/or damage to personal possessions of a userafter a loss event. Loss events may include, for example, residentialfires, theft, vandalism and/or other events that cause partial orcomplete loss of the personal possessions of the user. After a lossevent, a user may submit a policy claim to an insurance provider througha formal request by the user to the insurance provider for compensationto replace the personal possessions covered under the insurance policyof the user. Insurance providers set policy premiums based at least inpart upon a number of factors including the amount of coverage that thepolicy provides (e.g., based at least in part upon the number and valueof personal possessions covered by the policy).

Policy coverage is associated with the amount of risk or liability thatis covered by the insurance provider for the user's personalpossessions. In other words, the policy coverage is related to theamount of funds an insurance provider will pay a user for damaged orlost possessions. As such, a user may select a policy that covers adesired amount of the user's personal possessions.

In some cases, it may be not needed to provide coverage for everypersonal possession owned by users. In fact, users may prefer to nothave every personal item covered by insurance because preparing claimsthat cover all items may be tedious and time consuming for the users.Further, processing these claims by the insurance providers may take alot of time and resources. Users may also experience delays in receivingcompensation for their lost and/or damaged personal possessions from theloss event when so many possessions are covered and are damaged.Accordingly, there is a need for insurance providers to allow users topick which insurance policy the users prefer from predesignated policylevels with associated reimbursement controls (e.g., reimbursementamounts based at least in part upon a percentage of lost/damagedpersonal possessions) for the personal possessions of the users.

BRIEF SUMMARY

The present embodiments may relate to systems and methods forimplementing insurance policies with reimbursement controls. The systemmay include a reimbursement control computing device, one or more userdevices, one or more insurance provider devices, and/or one or moredatabases.

In one aspect, a computer system for providing reimbursement controls toinsurance policies may be provided. The computer system may include oneprocessor in communication with at least one memory device, and the atleast one processor may be configured to: (i) generate a plurality ofpredesignated policy levels for a user based at least in part upon userdata, wherein each predesignated policy level of the plurality ofpredesignated policy levels is associated with a maximum reimbursementamount, (ii) prompt the user to select a predesignated policy level ofthe plurality of predesignated policy levels, the predesignated policylevel including an insurance policy covering one or more item categoriesup to the associated maximum reimbursement amount, (iii) store, in theat least one memory device, the selected predesignated policy levelselected by the user, (iv) receive a claim from the user, (v) determine,in response to the claim and based at least in part upon the selectedpredesignated policy level and the associated maximum reimbursementamount, an actual reimbursement amount for each insured item category ofthe one or more item categories, and/or (vi) provide a payment device tothe user, the payment device having one or more reimbursement controlsfor providing the actual reimbursement amount. The computer system mayinclude additional, less, or alternate functionality, including thatdiscussed elsewhere herein.

In another aspect, a computer-implemented method for providingreimbursement controls to insurance policies is provided. The method maybe implemented using a computer system including at least one processorin communication with at least one memory device, and the method mayinclude: (i) generating a plurality of predesignated policy levels for auser based at least in part upon user data, wherein each predesignatedpolicy level of the plurality of predesignated policy levels isassociated with a maximum reimbursement amount, (ii) prompting the userto select a predesignated policy level of the plurality of predesignatedpolicy levels, the predesignated policy level including an insurancepolicy covering one or more item categories up to the associated maximumreimbursement amount, (iii) storing, in the at least one memory device,the selected predesignated policy level selected by the user, (iv)receiving a claim from the user, (v) determining, in response to theclaim and based at least in part upon the selected predesignated policylevel and the associated maximum reimbursement amount, an actualreimbursement amount for each insured item category of the one or moreitem categories, and/or (vi) providing a payment device to the userhaving reimbursement controls, wherein the reimbursement controlsprovide the actual reimbursement amount to the user by insured itemcategory. The method may include additional, less, or alternate actions,including those discussed elsewhere herein.

In a further aspect, at least one non-transitory computer-readable mediahaving computer-executable instructions thereon may be provided. Whenexecuted by at least one processor of a computer system in communicationwith at least one memory device, the instructions may cause the at leastone processor to: (i) generate a plurality of predesignated policylevels for a user based at least in part upon user data, wherein eachpredesignated policy level of the plurality of predesignated policylevels is associated with a maximum reimbursement amount, (ii) promptthe user to select a predesignated policy level of the plurality ofpredesignated policy levels, the predesignated policy level including aninsurance policy covering one or more item categories up to theassociated maximum reimbursement amount, (iii) store, in the at leastone memory device, the selected predesignated policy level selected bythe user, (iv) receive a claim from the user, (v) determine, in responseto the claim and based at least in part upon the selected predesignatedpolicy level and the associated maximum reimbursement amount, an actualreimbursement amount for each insured item category of the one or moreitem categories, and/or (vi) provide a payment device to the user, thepayment device having one or more reimbursement controls for providingthe actual reimbursement amount. The instructions may direct additional,less, or alternate functionality, including that discussed elsewhereherein.

Depending upon the embodiment, one or more benefits may be achieved.These benefits and various additional objects, features and advantagesof the present disclosure can be fully appreciated with reference to thedetailed description and accompanying drawings that follow.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 depicts an exemplary computer system in accordance with anexemplary embodiment of the present disclosure.

FIG. 2 depicts a flow chart of a process that may be carried out by thecomputer system illustrated in FIG. 1 .

FIG. 3 depicts an exemplary client computing device that may be usedwith the exemplary computer system illustrated in FIG. 1 .

FIG. 4 depicts an exemplary server system that may be used with theexemplary computer system illustrated in FIG. 1 .

FIG. 5 illustrates a diagram of components of one or more exemplarycomputing devices that may be used in the exemplary computer systemshown in FIG. 1 .

FIG. 6 illustrates a flow chart of an exemplary computer-implementedprocess that may be carried out by the exemplary computer system shownin FIG. 1 .

DETAILED DESCRIPTION OF THE DRAWINGS

The present embodiments may relate to, inter alia, systems and methodsfor providing reimbursement controls to insurance policies of users(e.g., policyholders or insureds). In one exemplary embodiment, theprocess may be performed by a reimbursement control (“RC”) computingdevice (also referred to herein as an RC server or an RC system). Insome embodiments, the RC computing device may be associated with aninsurance provider.

The systems and methods described herein may generate predesignatedpolicy levels and maximum reimbursement amounts associated with eachpredesignated policy level for a user. The RC computing device mayreceive user data from the user (e.g., demographic, location, and/orpersonal property data) and may predict items (e.g., personalpossessions and property) associated with and/or owned by the user usingmachine learning or artificial intelligence techniques. Based at leastin part upon the predicted items, the RC computing device may generatepredesignated policy levels and associated maximum reimbursement amountsthat offer different levels of insurance coverage (e.g., basic,intermediate, and premium) for the items.

The predesignated policy levels may include maximum reimbursementamounts for each of a plurality of insured item categories (e.g.,electronics, clothing, personal items, furniture, housewares, specialtyitems, etc.), and the user may select a desired predesignated policylevel based at least in part upon the maximum reimbursement amounts. Insome embodiments, the user may select the desired predesignated policylevel through an application associated with the RC computing devicewith a single input (e.g., with one click). In response to a claim event(e.g., natural disaster, flooding, fire, theft, burglary, etc.), the RCcomputing device may receive a claim from the user for one or moreinsured items. The RC computing device may determine an actualreimbursement amount for the user based at least in part upon theselected policy level and associated maximum reimbursement amount of theuser along with a percentage of damage to the insured items of the user.For example, for each insured item category, the user may receive thesame percentage of the maximum reimbursement amount as the percentage ofdamage to the items. Accordingly, the RC computing device may determineand provide an actual reimbursement amount for each insured itemcategory associated with the user. The RC computing device may providethe actual reimbursement in the form of a prepaid card such the prepaidcard may include instructions and/or rules that restricts the user toonly purchase items (e.g., using the actual reimbursement amounts)associated with each insured item category. Further details are providedbelow.

Examples of Predicting Insured Items

In one exemplary embodiment, the RC computing device may becommutatively linked to one or more databases (e.g., a historicalpolicyholder database). The historical policyholder database may includea plurality of historical policyholder records associated with aplurality of policyholders. Each of the plurality of historicalpolicyholder records may include a set of personal data associated withthe policyholders and a list of actual items (e.g., electronics,clothing, personal items, furniture, housewares, specialty items, etc.)owned by each policyholder.

The policyholder records may be created from historical registrationdata of policyholders, or from historical claims data submitted bypolicyholders for reimbursement. The set of personal data may includedemographic and location data (e.g., age, sex, occupation, educationlevel, marital status, family size, household address, residencecity/state, total floor plan area, number of bed rooms, etc.) associatedwith the policyholders. The list, for example, may be lists of itemssupplied by the policyholders when the policyholders first obtainedinsurance coverage for the items, and the RC computing device maycategorize the items of the lists. The lists may further include anassigned value (e.g., associated with the cost to repair or replace theitems) associated with each item included in the list. The assignedvalue, for example, may be included in the list supplied by thepolicyholders (e.g., the policyholders may include an estimated valuefor each item included in the list) and/or the assigned value may beassigned to each item by the RC computing device (e.g., the RC computingdevice may perform a search, like an internet search, for the valueassociated with each item of the list). Further, the RC computing devicemay assign a value to each category of the items based at least in partupon the assigned values of the items in each category.

In the exemplary embodiment, the RC computing device may retrieve, fromthe historical policyholder database, at least a subset of thehistorical policyholder records that include personal data and a listthe items of the policyholders associated with the historicalpolicyholder records. This subset of historical policyholder records maybe used to generate a model that relates the personal data to the listfor the policyholders. The model may further predict an average valueassociated with each category of items. The average values associatedwith each category of items may be the average cost to replace/repaireach item included in each category. For example, an electronicscategory may include a laptop, a TV, and a desktop computer, and thevalue associated with the electronics category may be the price toreplace/repair the laptop, the TV, and the desktop computer. Forexample, the RC computing device may find that a majority ofmiddle-class 35-year-old female policyholders own electronics with anaverage value of $2,500, clothing with an average value of $4,500,furniture with an average value of $5,000, housewares with an averagevalue of $1,500, and specialty items (e.g., jewelry, artwork, andcollectors' items) with an average value of $12,000.

The model may be generated using any suitable technique (e.g., machinelearning, artificial intelligence, neural networks, etc.), as furtherdescribed herein.

Users may wish to register and/or enroll in a RC service associated withthe RC computing device when the users want to enroll in an insurancepolicy (e.g., rental insurance, homeowner's insurance, etc.). Forexample, a user may want to obtain general coverage for items associatedwith the user without having to list each item and/or without having theinsurance policy covering specific items. The RC computing device mayprompt the users to enter personal data (e.g., age, sex, income level,employment status, marital status, etc.) associated with the users whenthe users enroll and/or register with the RC service.

The RC computing device may utilize the model to generate categories ofitems (also referred to herein as insured item categories) associatedwith the user and average values associated with the categories. Inother words, the RC computing device may utilize the set of personaldata as an input to the model to generate categories of items and theassociated values of those items for the user. These categories of itemsand associated values would be what the model predicts as being owned bythe user who inputted the personal data.

For example, a user may provide the RC computing device with personaldata indicating that the user is a 35-year-old female with an averageincome of $105,000. The RC computing device may receive the personaldata of the user, input the received personal data into the model of theRC computing device, and the RC computing device may predict that theuser owns electronics with an average value of $2,500, clothing with anaverage value of $4,500, furniture with an average value of $5,000,housewares with an average value of $1,500, and specialty items (e.g.,jewelry, artwork, and collectors' items) with an average value of$12,000. Further, the RC computing device may allow the user to edit thepredicted categories of items and associated values.

In other embodiments, when the user registers for the RC serviceassociated with the RC computing device, the user may provide the RCcomputing device (e.g., via a user interface) with a list of categoriesof items associated with and/or owned by the user. The user may furtherprovide the RC computing device with an estimated value associated witheach category. The RC computing device may store (e.g., in a database)the predicted categories and associated values and/or the providedcategories and associated values for each user registered for the RCservice.

Examples of Generating Predesignated Policy Levels and MaximumReimbursement Amounts

The RC computing device may generate predesignated policy levels (e.g.,different levels of insurance coverage) for the user to select frombased at least in part upon the predicted and/or provided categories ofitems and associated values. Each of the generated predesignated policylevels may be associated with different maximum reimbursement amountsfor each category of items associated with the user.

In the exemplary embodiment, the predesignated policy levels may includea basic level, an intermediate level, and a premium level. In otherembodiments, the predesignated policy levels may include fewer or morepredesignated policy levels for the user to choose from. The basic levelmay include basic coverage and basic maximum reimbursement amounts forthe items of the user, the intermediate level may include intermediatecoverage and intermediate maximum reimbursement amounts for the items ofthe user, and the premium level may include premium coverage and premiummaximum reimbursement amounts for the items of the user. For example,the basic level may offer a maximum reimbursement amount of 50% of thevalue associated with each category of items associated with the user,the intermediate level may offer a maximum reimbursement amount of 75%of the value associated with each category of items associated with theuser, and the premium level may offer a maximum reimbursement amount of90% of the value associated with each category of items associated withthe user. Each level would also include a premium paid by the user(e.g., a monthly, bi-monthly, or yearly amount to retain the insurancepolicy) that reflects the different levels of coverage.

For example, if the RC computing device predicts that the user isassociated with electronics with an average value of $2,500, clothingwith an average value of $4,500, furniture with an average value of$5,000, housewares with an average value of $1,500, and specialty itemswith an average value of $12,000, the RC computing device may generatepredesignated policy levels based at least in part upon these categoriesand associated values. The RC computing device may generate a basiclevel of coverage that offers a maximum reimbursement amount of 50% ofthe associated values for each category (e.g., $1,250 for electronics,$2,250 for clothing, $2,500 for furniture, $750 for housewares, and$6,000 for specialty items), an intermediate level of coverage thatoffers a maximum reimbursement amount of 75% of the associated valuesfor each category (e.g., $1,875 for electronics, $3,375 for clothing,$3,750 for furniture, $1,125 for housewares, and $9,000 for specialtyitems), and a premium level of coverage that offers a maximumreimbursement amount of 90% of the associated values for each category(e.g., $2,250 for electronics, $4,050 for clothing, $4,500 forfurniture, $1,350 for housewares, and $10,800 for specialty items).

Examples of User Selection of Predesignated Policy

The RC computing device may display the generated predesignated policylevels to the user (e.g., through a user interface) and prompt the userto select a predesignated policy level of the plurality of predesignatedpolicy levels. In some embodiments, the user may be able to select thepredesignated policy level with minimal input (e.g., using one-click).In other embodiments, RC computing device may allow the user to provideadditional input. For example, the user may edit the predictedcategories of items and the associated values, add categories andassociated values not included in the predicted categories, requestdifferent policies to better meet the needs of the user, etc.

The user may choose the predesignated policy based at least in part uponthe needs of the user. For example, if the user wants to pay the leastamount possible for an insurance premium while still covering at leastsome of the items associated with the user, the user may select thebasic level of coverage. If the user prefers to cover the maximum amountpossible of the items associated with the user and is willing to pay ahigher insurance premium, the user may select the premium level ofcoverage.

When the user has selected the predesignated policy level, the RCcomputing device may store the predesignated policy level and theassociated user or user identifier in a database associated with the RCcomputing device. In the exemplary embodiment, the RC computing devicemay be in communication with and/or part of an insurance provider device(e.g., associated with an insurance provider of the user) such that theRC computing device may finalize the insurance policy of the user afterthe user accepts the terms and conditions of the insurance policy (e.g.,such that the selected insurance policy of the user is immediatelyeffective). In other embodiments, the RC computing device may transmitthe selected predesignated policy level to the insurance provider devicesuch that the insurance provider may finalize the insurance policy ofthe user and receive any additional information from the user (e.g.,payment information).

Examples of Determining Reimbursement after Claim Event

In response to a claim event (e.g., a natural disaster, fire, burglary,theft, etc.), the user may submit a claim to the insurance providerassociated with the selected policy level (e.g., through the RCcomputing device) to request reimbursement for items associated with theuser that are covered by the selected policy level. The claim mayinclude a description of the items that were lost, destroyed, or damagedand/or a list of items that were spared or unharmed in the claim event.In some embodiments, the claim may include images and/or video such thatRC computing device may determine the items that are destroyed ordamaged and/or the list of items that are spared or unharmed. Further,the claim may include a police report or other evidence that the claimevent took place. In some embodiments, the user may only give apercentage of items lost in each category. For example, if 40% of theuser's electronics were stolen (and no other items/item categories wereaffected), the user may simply input into the RC computing device that40% of electronics were stolen.

Based at least in part upon the claim, the RC computing device maydetermine a percentage of each category of items that needs to bereplaced or repaired. In other words, the RC computing device maydetermine which percentage of each category of items was affected by theclaim event. For example, if the claim event is a hurricane thatdestroys a home of the user, the RC computing device may determine that100% of each category of items needs to be replaced. If the claim eventis a burglary where the burglar took a television, a laptop, and somejewelry of the user, the RC computing device may determine that 100% ofthe electronics of the user and 40% of the jewelry of the user needs tobe replaced.

The RC computing device may compare the determined percentage of eachcategory of items that need to be replaced or repaired with the selectedpolicy of the user to determine an actual reimbursement amountassociated with each category of items for the user. The RC computingdevice may use the determined percentage of each category as thepercentage of the maximum reimbursement amount of each category that theuser may receive as the actual reimbursement. For example, in the caseof the hurricane that destroys the home of the user, the RC computingdevice may determine that the actual reimbursement amount for the useris 100% of the maximum reimbursement amount for each category (e.g., theactual reimbursement amount is the maximum reimbursement amount for eachcategory). In the case of the burglary where 100% of the electronics ofthe user and 40% of the jewelry of the user was lost and/or damaged, theRC computing device may determine that the actual reimbursement amountfor the user is 100% of the electronics maximum reimbursement amount and40% of the jewelry maximum reimbursement amount. That is, if the maximumreimbursement amounts of the policy of the user are $1,500 forelectronics and $2,000 for jewelry, the RC computing device mayreimburse the user $1,500 for electronics and $800 for jewelry, and theuser may receive no other reimbursements for items in other categoriessince the items of the other categories were not lost and/or damaged.Using the maximum reimbursement amounts and percentages from the claim,the RC computing device may quickly and efficiently process claims forthe user in response to the claim event.

Examples of Providing Reimbursement after Claim Event

After the RC computing device determines the actual reimbursement amountfor the user, the RC computing device may provide the actualreimbursement amount to the user. In the exemplary embodiment, the RCcomputing device may provide a payment device to the user, and thepayment device may have reimbursement controls thereon. Thereimbursement controls may provide the actual reimbursement amount tothe user by the insured item category, and the reimbursement controlsmay ensure (e.g., through rules and/or instructions) that the user onlyspends the reimbursement amount on items (e.g., replacement items) ofthe insured item category associated with the actual reimbursementamount.

In the exemplary embodiment, the RC computing device may issue one ormore pre-paid cards as the payment device. The pre-paid cards may allowthe RC computing device to enforce the reimbursement controls for theactual reimbursements, and the pre-paid cards may have rules thereonthat restricts the user to only purchase one or more replacement itemsassociated with the insured item category (or categories) of the actualreimbursement amount. The pre-paid card may decline a purchasetransaction if the one or more replacement items are not in the insureditem category associated with the actual reimbursement (e.g., when therules are not met), and the pre-paid card may allow the purchasetransaction to proceed if the one or more replacement items are in theinsured item category associated with the actual reimbursement (e.g.,when the rules are met). For example, the pre-paid card may determinethe category of the one or more replacement items based at least in partupon a merchant category of a merchant where the one or more replacementitems are being purchased and/or a stock keeping unit (SKU) of the oneor more replacement items. For example, if the RC computing devicedetermines that the provided payment device should include an actualreimbursement amount, based at least in part upon the policy and maximumreimbursement amount of the user, of $1,500 for electronics and $800 forjewelry, the payment device may only allow the user to spend the $1,500reimbursement amount at merchants that sell electronics and the $800reimbursement amount only at merchants that sell jewelry. Further, thepayment device may only allow the user to spend the $1,500 reimbursementamount on replacement items that have SKUs that relate to electronicsand the $800 reimbursement amount on replacement items that have SKUsthat relate to jewelry.

In other embodiments, the RC computing device may provide the actualreimbursement amount to the user through any suitable payment devicesuch that the payment device may have reimbursement controls. Forexample, the payment device may be a credit card, a debit card, aprepaid card, a charge card, a membership card, a promotional card, aprepaid card, a gift card, a card that is part of a digital wallet,and/or any other device that may hold payment account information, suchas mobile phones, smartphones, personal digital assistants (PDAs), keyfobs, and/or computers. Through providing the reimbursement to the userin a format that is easy for the user to redeem, the RC computing deviceensures that the user only spends the actual reimbursement amount on thecategories of items that the actual reimbursement amount corresponds towhile ensuring that the user can replace/repair the lost/damaged itemsquickly after a claim event.

At least one technical problem addressed by this system may include: (i)complicated and technical insurance policies that are hard for users tounderstand, (ii) inability of users to insure categories of itemsinstead of individual items, (iii) long claim processing timelines thatmake it difficult for users to receive reimbursement and/or replaceitems after claim events, and (iv) inability to provide controlledaccess to reimbursement funds to users.

The methods and systems described herein may be implemented usingcomputer programming or engineering techniques including computersoftware, firmware, hardware, or any combination thereof, where thetechnical effect may be achieved by performing at least one of thefollowing steps: (a) generating a plurality of predesignated policylevels for a user based at least in part upon user data, wherein eachpredesignated policy level of the plurality of predesignated policylevels is associated with a maximum reimbursement amount, (b) promptingthe user to select a predesignated policy level of the plurality ofpredesignated policy levels, the predesignated policy level including aninsurance policy covering one or more item categories up to theassociated maximum reimbursement amount, (c) storing, in the at leastone memory device, the selected predesignated policy level selected bythe user, (d) receiving a claim from the user, (e) receiving a claimfrom the user, and/or (f) providing a payment device to the user havingreimbursement controls, wherein the reimbursement controls provide theactual reimbursement amount to the user by insured item category.

At least one technical solution addressed by this system may include:(i) generating and providing a plurality of predesignated policy levelsand associated reimbursement controls for a user based at least in partupon categories of items associated with the user instead of individualitems associated with the user, (ii) allowing the user to select apredesignated policy level of the plurality of predesignated policylevels, (iii) in a claim event, facilitating quick and easy claimpreparation for the user and reimbursement determination by only needingthe user to claim a percentage of items damaged in the claim event, nota status of each item associated with the user, (iv) providing the userwith a fixed reimbursement amount, and (v) ensuring that the user onlyreplaces the items which the user had covered by the selectedpredesignated policy level.

Exemplary Computer Networks

FIG. 1 depicts a simplified block diagram of an exemplary system 100. Inthe exemplary embodiment, system 100 may be used for providingreimbursement controls to insurance policies for a user (e.g.,associated with user device 112). In the exemplary embodiment, system100 may include a reimbursement control (RC) computing device 102 and adatabase server 104. RC computing device 102 may be in communicationwith one or more databases 106, user devices 112, and/or insuranceprovider devices 114.

In the exemplary embodiment, user device 112 may be computers thatinclude a web browser or a software application, which enables userdevice 112 to access remote computer devices, such as RC computingdevice 102, using the Internet or other network. More specifically, userdevice 112 may be communicatively coupled to RC computing device 102through many interfaces including, but not limited to, at least one ofthe Internet, a network, such as the Internet, a local area network(LAN), a wide area network (WAN), or an integrated services digitalnetwork (ISDN), a dial-up-connection, a digital subscriber line (DSL), acellular phone connection, and a cable modem. User device 112 may be anydevice capable of accessing the Internet including, but not limited to,a desktop computer, a laptop computer, a personal digital assistant(PDA), a cellular phone, a smartphone, a tablet, a phablet, wearableelectronics, smart watch, or other web-based connectable equipment ormobile devices.

An insurance provider device 114 may be communicatively coupled with RCcomputing device 102. In some embodiments, insurance provider device 114may be associated with, or is part of a computer network associated withan insurance provider, or in communication with the insurance provider'scomputer network (not shown). In other embodiments, insurance providerdevice 114 may be associated with a third party and is merely incommunication with the insurance provider's computer network. That is,insurance provider device 114 may be associated with the insuranceprovider of the user. More specifically, insurance provider device 114is communicatively coupled to the Internet through many interfacesincluding, but not limited to, at least one of a network, such as theInternet, a local area network (LAN), a wide area network (WAN), or anintegrated services digital network (ISDN), a dial-up-connection, adigital subscriber line (DSL), a cellular phone connection, and a cablemodem. Insurance provider device 114 may be any device capable ofaccessing the Internet including, but not limited to, a desktopcomputer, a laptop computer, a personal digital assistant (PDA), acellular phone, a smartphone, a tablet, a phablet, wearable electronics,smart watch, or other web-based connectable equipment or mobile devices.

Database server 104 may be communicatively coupled to database 106 thatstores data. In one embodiment, database 106 may include user dataassociated with users, generated predesignated policy levels andassociated maximum reimbursement amounts, historical policyholder data,selected policies for the users, property data associated with theusers, etc. In the exemplary embodiment, database 106 may be storedremotely from RC computing device 102. In some embodiments, database 106may be decentralized. In the exemplary embodiment, a user may accessdatabase 106 and/or RC computing device via user device 112.

RC computing device 102 may be in communication with a plurality of userdevices 112 and insurance provider device 114 to generate predesignatedpolicy levels and maximum reimbursement amounts associated with eachpredesignated policy level for the user. In some embodiments, RCcomputing device 102 may be associated with an insurance provider or incommunication with the insurance provider's computer network (notshown). In other embodiments, RC computing device 102 may be associatedwith a third party and is merely in communication with the insuranceprovider device 114.

Exemplary Processes for Providing Reimbursement Controls

FIG. 2 illustrates a flow chart of an exemplary process 200 forproviding reimbursement controls to insurance policies for a user (e.g.,associated with user device 112). Process 200 may be carried out bysystem 100 (shown in FIG. 1 ).

In the exemplary embodiment, RC computing device 102 may receive userdata 218 from user device 112. Using the received user data 218, RCcomputing device 102 may predict items and categories associated withthe items of the user and generate a plurality of predesignated policylevels 220. Each of the generated predesignated policy levels 220 may beassociated with different maximum reimbursement amounts for eachcategory of items (e.g., insured item categories) associated with theuser. Predesignated policy levels 220 may each provide a differentamount of coverage to the categories of items of the user, andpredesignated policy levels 220 may include basic, intermediate, andpremium coverage. RC computing device 102 may transmit predesignatedpolicy levels 220 to user device 112 and prompt the user to select apredesignated policy level of the plurality of predesignated policylevels 220. Predesignated policy levels 220 may be displayed to the useron user device 112 (e.g., through an application associated with RCcomputing device 102) such that the user associated with user device 112may easily select (e.g., with “one-click” or other minimal input) apredesignated policy level 220 that best meets the needs of the user.After the user selects predesignated policy level 220 that the userwould like to enroll in, a selected policy level 222 may be sent to RCcomputing device 102 from user device 112, and RC computing device 102may store selected policy level 222. In the exemplary embodiment, RCcomputing device 102 may send selected policy level 222 to insuranceprovider device 114. In other embodiments, user device 112 may sendselected policy level 222 directly to RC computing device 102 andinsurance provider device 114. In some embodiments, RC computing device102 may finalize enrolling the user in selected policy level 222 suchthat the items associated with the user are covered under selectedpolicy level 222. In other embodiments, insurance provider device 114may finalize the enrollment of the user in selected policy level 222.

After a claim event occurs (e.g., a natural disaster, fire, flood,burglary, theft, etc.) that affects the items associated with the user,the user may submit a claim 226 to RC computing device 102. Claim 226may include a percentage of categories of items associated with the userthat were lost/damaged from the claim event, and/or claim 226 mayinclude a percentage of categories of items associated with the userthat were spared (e.g., not lost or damaged) from the claim event.Additionally or alternatively, claim 226 may include a list of itemsassociated with the user that are damaged/spared and/or images or videoshowing the items associated with the user that are damaged/spared suchthat RC computing device 102 may determine the percentage of categoriesof items that are damaged and/or spared. In response to receiving claim226, RC computing device 102 may retrieve selected policy level 222associated with the user and compare selected policy level 222 and themaximum reimbursement amount associated with selected policy level 222to determine an actual reimbursement amount 228 for the user. Actualreimbursement amount 228 may include multiple reimbursement amounts thatrelate to each category of items of the user. RC computing device 102may transmit actual reimbursement amount 228 to insurance providerdevice 114 such that insurance provider device 114 may process actualreimbursement amount 228.

In the exemplary embodiment, RC computing device 102 may provide actualreimbursement amount 228 to user computing device 112 and/or directly tothe user. Actual reimbursement amount 228 may include reimbursementcontrols such that the user may only purchase items associated with thecategory of items that each actual reimbursement amount 228 relates to.For example, if the claim event is a burglary where 100% of theelectronics of the user and 40% of the jewelry of the user was lostand/or damaged, RC computing device 102 may determine that actualreimbursement amount 228 for the user is 100% of the electronics maximumreimbursement amount and 40% of the jewelry maximum reimbursementamount. That is, if the maximum reimbursement amounts of the policy ofthe user are $1,500 for electronics and $2,000 for jewelry, RC computingdevice 102 may provide actual reimbursement amount 228 of $1,500 forelectronics and $800 for jewelry to the user. RC computing device 102may provide actual reimbursement amount 228 to the user in the form of apayment device having reimbursement controls thereon. Reimbursementcontrols of the payment device may provide actual reimbursement amount228 to the user by insured item category. Further, the payment devicemay include rules thereon that restricts the user such that actualreimbursement amount 228 may only be spent purchasing replacement itemsthat relate to insured item categories of actual reimbursement amount228. In some embodiments, the payment device may be in the form of apre-paid card. In other embodiments, the payment device may be in theform of digital wallet credit or any other form such that actualreimbursement amount 228 may be restricted by RC computing device 102.

Exemplary User Devices

FIG. 3 depicts an exemplary configuration 300 of a user computer device304 (e.g., user device 112, shown in FIG. 1 ), in accordance with oneembodiment of the present disclosure. User computer device 304 may beoperated by a user 302. User computer device 304 may include, but is notlimited to, user device 112 and insurance provider device 114 (shown inFIG. 1 ). User computer device 304 may include a processor 306 forexecuting instructions. In some embodiments, executable instructions maybe stored in a memory 308. Processor 306 may include one or moreprocessing units (e.g., in a multi-core configuration). Memory 308 maybe any device allowing information such as executable instructionsand/or transaction data to be stored and retrieved. Memory 308 mayinclude one or more computer readable media.

User computer device 304 may also include one media output component 310for presenting information to user 302. Media output component 310 maybe any component capable of conveying information to user 302. In someembodiments, media output component 310 may include an output adapter(not shown) such as a video adapter and/or an audio adapter. An outputadapter may be operatively coupled to processor 306 and operativelycoupleable to an output device such as a display device (e.g., a cathoderay tube (CRT), liquid crystal display (LCD), light emitting diode (LED)display, or “electronic ink” display) or an audio output device (e.g., aspeaker or headphones).

In some embodiments, media output component 310 may be configured topresent a graphical user interface (e.g., a web browser and/or a clientapplication) to user 302. In some embodiments, user computer device 304may include an input device 312 for receiving input from user 302. User302 may use input device 312 to, without limitation, select apredesignated policy level of the plurality of predesignated policylevels and/or submit a claim in response to a claim event.

Input device 312 may include, for example, a keyboard, a pointingdevice, a mouse, a stylus, a touch sensitive panel (e.g., a touch pad ora touch screen), a gyroscope, an accelerometer, a position detector, abiometric input device, and/or an audio input device. A single componentsuch as a touch screen may function as both an output device of mediaoutput component 310 and input device 312.

User computer device 304 may also include a communication interface 314,communicatively coupled to a remote device such as RC computing device102 (shown in FIG. 1 ). Communication interface 314 may include, forexample, a wired or wireless network adapter and/or a wireless datatransceiver for use with a mobile telecommunications network.

Stored in memory 308 are, for example, computer readable instructionsfor providing a user interface to user 302 via media output component310 and, optionally, receiving and processing input from input device312. A user interface 302 may include, among other possibilities, a webbrowser and/or a client application. Web browsers enable users, such asuser 302, to display and interact with media and other informationtypically embedded on a web page or a website from RC computing device102 (shown in FIG. 1 ). A client application may allow user 302 tointeract with, for example, RC computing device 102. For example,instructions may be stored by a cloud service, and the output of theexecution of the instructions sent to the media output component 310.

Exemplary Server Devices

FIG. 4 depicts an exemplary configuration of a server system 400, inaccordance with one embodiment of the present disclosure. A servercomputer device 402 may include, but is not limited to, RC computingdevice 102 (shown in FIG. 1 ). Server computing device 402 may alsoinclude a processor 404 for executing instructions. Instructions may bestored in a memory area 406. Processor 404 may include one or moreprocessing units (e.g., in a multi-core configuration).

Processor 404 may be operatively coupled to a communication interface408 such that server computer device 402 is capable of communicatingwith a remote device such as another server computer device 402, RCcomputing device 102, user device 112, and insurance provider device 114(shown in FIG. 1 ). For example, communication interface 408 may receiveinputs, such as predesignated policy selections and/or submitted claimsfrom user device 112 (shown in FIG. 1 ).

Processor 404 may also be operatively coupled to a storage device 420.Storage device 420 may be any computer-operated hardware suitable forstoring and/or retrieving data. In some embodiments, storage device 420may be integrated in server computer device 402. For example, servercomputer device 402 may include one or more hard disk drives as storagedevice 420.

In other embodiments, storage device 420 may be external to servercomputer device 402 and may be accessed by a plurality of servercomputer devices 402. For example, storage device 420 may include astorage area network (SAN), a network attached storage (NAS) system,and/or multiple storage units such as hard disks and/or solid statedisks in a redundant array of inexpensive disks (RAID) configuration.

In some embodiments, processor 404 may be operatively coupled to storagedevice 420 via a storage interface 410. Storage interface 410 may be anycomponent capable of providing processor 404 with access to storagedevice 420. Storage interface 410 may include, for example, an AdvancedTechnology Attachment (ATA) adapter, a Serial ATA (SATA) adapter, aSmall Computer System Interface (SCSI) adapter, a RAID controller, a SANadapter, a network adapter, and/or any component providing processor 404with access to storage device 420.

Processor 404 may execute computer-executable instructions forimplementing aspects of the disclosure. In some embodiments, theprocessor 404 may be transformed into a special purpose microprocessorby executing computer-executable instructions or by otherwise beingprogrammed, as described below in more detail with regard to FIG. 6 .

Exemplary Computer Devices

FIG. 5 depicts a diagram 500 of components of one or more exemplarycomputing devices that may be used in system 100 (shown in FIG. 1 )and/or to carry out process 200 (shown in FIG. 2 ).

In some embodiments, computing device 510 may be similar to RC computingdevice 102 (shown in FIG. 1 ). Database 520 may be coupled with severalseparate components within computing device 510, which perform specifictasks. In this embodiment, database 520 may include property data 522(which may be associated with the items associated with the user and/orhistorical property data of policyholders), insurance data 524 (whichmay be associated with generated predesignated policy levels and/orselected policy levels of users), and user data 526 (which may bedemographic and/or location data associated with the users). In someembodiments, database 520 is similar to database 106 (shown in FIG. 1 ).

Computing device 510 may include database 520, as well as a data storagedevice 530. Computing device 510 may also include a communicationcomponent 540 for transmitting and receiving data between user device112 and insurance provider device 114 (shown in FIG. 1 ). Computingdevice 510 may further include a determining component 550 that may, forexample, generate and/or determine predesignated policy levels and/ordetermine reimbursements (e.g., reimbursement 228 shown in FIG. 2 ) foruser in response to a claim event. A processing component 560 may assistwith execution of computer-executable instructions associated with thesystem.

Exemplary Computer-Implemented Methods

FIG. 6 illustrates a flow chart of an exemplary computer implementedprocess 600 for generating predesignated policy levels and associatedreimbursement controls for users. Process 600 may be implemented, atleast in part, by a computing device, for example, RC computing device102 (shown in FIG. 1 ).

Process 600 may include generating 610 a plurality of predesignatedpolicy levels for a user based at least in part upon user data (e.g.,input by the user into RC computing device 102). Each predesignatedpolicy level of the plurality of predesignated policy levels may have areimbursement maximum amount associated with the predesignated policylevel. Process 600 may include prompting 620 the user to select apredesignated policy level of the plurality of predesignated policylevels, and the predesignated policy level may include an insurancepolicy covering one or more item categories by the user up to thereimbursement maximum. Process 600 may further include storing 630 theselected predesignated policy level of the user.

After a claim event, process 600 may include receiving 640 a claim fromthe user. Process may include determining 650, in response to the claimand based at least in part upon the selected predesignated policy leveland the associated maximum reimbursement amount, an actual reimbursementamount for each insured item category of the one or more itemcategories. Further, process 600 may include providing 660 a paymentdevice to the user having reimbursement controls, and the reimbursementcontrol may provide the actual reimbursement amount to the user byinsured item category. Process 600 may include additional steps and/orfunctionality, including that described herein.

Exemplary Embodiments & Functionalities

In an exemplary embodiment, at least one processor of a computer system(e.g.,, system 100) for providing reimbursement controls to insurancepolicies in communication with at least one memory device may beconfigured to: (i) generate a plurality of predesignated policy levelsfor a user based at least in part upon user data, wherein eachpredesignated policy level of the plurality of predesignated policylevels is associated with a maximum reimbursement amount, (ii) promptthe user to select a predesignated policy level of the plurality ofpredesignated policy levels, the predesignated policy level including aninsurance policy covering one or more item categories up to theassociated maximum reimbursement amount, (iii) store, in the at leastone memory device, the selected predesignated policy level selected bythe user, (iv) receive a claim from the user, (v) determine, in responseto the claim and based at least in part upon the selected predesignatedpolicy level and the associated maximum reimbursement amount, an actualreimbursement amount for each insured item category of the one or moreitem categories, and/or (vi) provide a payment device to the user, thepayment device having one or more reimbursement controls for providingthe actual reimbursement amount. The computer system may includeadditional, less, or alternate functionality, including that discussedelsewhere herein.

For example, one enhancement may be that the processor is furtherconfigured to: (i) receive user data associated with the user, whereinthe user data includes demographic data and location data, (ii) predicta value of the items owned by the user in each insured item categorybased at least in part upon the received user data, and/or (iii)generate the plurality of predesignated policy levels based at least inpart upon the received user data and the predicted values of the itemsowned by the user in each insured item category, wherein the pluralityof predesignated policy levels includes different coverage amount foreach insured item category, and wherein the plurality of predesignatedpolicy levels includes a basic coverage amount, an intermediate coverageamount, and a premium coverage amount. Further, the payment device maybe a prepaid card, and the prepaid card may include rules that restrictsthe user to purchase one or more replacement items associated with theinsured item category and the actual reimbursement amount. The paymentdevice may determine which insured item category the one or morereplacement items are associated with based at least in part upon atleast one of a merchant category and a stock keeping unit (SKU) of theone or more replacement items.

The processor may further be configured to: (i) receive a claim eventassociated with the claim, wherein the claim event includes a fire, anatural disaster, flooding, burglary, and theft, (ii) determine apercentage of damage associated with the items included in each of theinsured item categories, (iii) adjust the actual reimbursement amountfor each insured item category based at least in part upon thedetermined percentage of damage, and/or (iv) retrieve, from the at leastone memory device, in response to receiving the claim, the predesignatedpolicy level of the user. The insured item categories may include one ofelectronics, clothing, personal items, furniture, housewares, andspecialty items.

In another exemplary embodiment, a computer-implemented method forproviding reimbursement controls to insurance policies, the methodimplemented using a computer system including at least one processor incommunication with at least one memory device may include: (i)generating a plurality of predesignated policy levels for a user basedat least in part upon user data, wherein each predesignated policy levelof the plurality of predesignated policy levels is associated with amaximum reimbursement amount, (ii) prompting the user to select apredesignated policy level of the plurality of predesignated policylevels, the predesignated policy level including an insurance policycovering one or more item categories up to the associated maximumreimbursement amount, (iii) storing, in the at least one memory device,the selected predesignated policy level selected by the user, (iv)receiving a claim from the user, (v) determining, in response to theclaim and based at least in part upon the selected predesignated policylevel and the associated maximum reimbursement amount, an actualreimbursement amount for each insured item category of the one or moreitem categories, and/or (vi) providing a payment device to the userhaving reimbursement controls, wherein the reimbursement controlsprovide the actual reimbursement amount to the user by insured itemcategory. The method may include additional, less, or alternate actions,including those discussed elsewhere herein.

In a further exemplary embodiment, computer-executable instructionsembodied on at least one transitory computer-readable storage media,when executed by at least one processor in communication with at leastone memory device, may cause the at least one process to: (i) generate aplurality of predesignated policy levels for a user based at least inpart upon user data, wherein each predesignated policy level of theplurality of predesignated policy levels is associated with a maximumreimbursement amount, (ii) prompt the user to select a predesignatedpolicy level of the plurality of predesignated policy levels, thepredesignated policy level including an insurance policy covering one ormore item categories up to the associated maximum reimbursement amount,(iii) store, in the at least one memory device, the selectedpredesignated policy level selected by the user, (iv) receive a claimfrom the user, (v) determine, in response to the claim and based atleast in part upon the selected predesignated policy level and theassociated maximum reimbursement amount, an actual reimbursement amountfor each insured item category of the one or more item categories,and/or (vi) provide a payment device to the user, the payment devicehaving one or more reimbursement controls for providing the actualreimbursement amount. The instructions may direct additional, less, oralternate functionality, including that discussed elsewhere herein.

Examples of Machine Learning and Other Matters

The computer-implemented methods discussed herein may includeadditional, less, or alternate actions, including those discussedelsewhere herein. The methods may be implemented via one or more localor remote processors, transceivers, servers, and/or sensors, and/or viacomputer-executable instructions stored on non-transitorycomputer-readable media or medium.

Additionally, the computer systems discussed herein may includeadditional, less, or alternate functionality, including that discussedelsewhere herein. The computer systems discussed herein may include orbe implemented via computer-executable instructions stored onnon-transitory computer-readable media or medium.

A processor or a processing element may be trained using supervised orunsupervised machine learning, and the machine learning program mayemploy a neural network, which may be a convolutional neural network, adeep learning neural network, or a combined learning module or programthat learns in two or more fields or areas of interest. Machine learningmay involve identifying and recognizing patterns in existing data inorder to facilitate making predictions for subsequent data. Models maybe created based at least in part upon example inputs in order to makevalid and reliable predictions for novel inputs.

Additionally or alternatively, the machine learning programs may betrained by inputting sample data sets or certain data into the programs,such as image, personal possession, claim, policy, and/or reimbursementdata. The machine learning programs may utilize deep learning algorithmsthat may be primarily focused on pattern recognition, and may be trainedafter processing multiple examples. The machine learning programs mayinclude Bayesian program learning (BPL), voice recognition andsynthesis, image or object recognition, optical character recognition,and/or natural language processing—either individually or incombination. The machine learning programs may also include naturallanguage processing, semantic analysis, automatic reasoning, and/ormachine learning.

In supervised machine learning, a processing element may be providedwith example inputs and their associated outputs, and may seek todiscover a general rule that maps inputs to outputs, so that whensubsequent novel inputs are provided the processing element may, basedat least in part upon the discovered rule, accurately predict thecorrect output. In unsupervised machine learning, the processing elementmay be needed to find its own structure in unlabeled example inputs. Inone embodiment, machine learning techniques may be used to extract dataabout the computer device, the user of the computer device, home ownerand/or home, renter, geolocation information, image data, and/or otherdata.

Based at least in part upon these analyses, the processing element maylearn how to identify characteristics and patterns that may then beapplied to analyzing user data, policy data, item data, and/or otherdata. For example, the processing element may learn, with the user'spermission or affirmative consent, to predict items, categories ofitems, and values associated with the categories of items associatedwith the user.

Examples of Additional Considerations

As will be appreciated based at least in part upon the foregoingspecification, the above-described embodiments of the disclosure may beimplemented using computer programming or engineering techniquesincluding computer software, firmware, hardware or any combination orsubset thereof. Any such resulting program, having computer-readablecode means, may be embodied or provided within one or morecomputer-readable media, thereby making a computer program product,e.g., an article of manufacture, according to the discussed embodimentsof the disclosure. The computer-readable media may be, for example, butis not limited to, a fixed (hard) drive, diskette, optical disk,magnetic tape, semiconductor memory such as read-only memory (ROM),and/or any transmitting/receiving medium, such as the Internet or othercommunication network or link. The article of manufacture containing thecomputer code may be made and/or used by executing the code directlyfrom one medium, by copying the code from one medium to another medium,or by transmitting the code over a network.

These computer programs (also known as programs, software, softwareapplications, “apps”, or code) include machine instructions for aprogrammable processor, and can be implemented in a high-levelprocedural and/or object-oriented programming language, and/or inassembly/machine language. As used herein, the terms “machine-readablemedium” “computer-readable medium” refers to any computer programproduct, apparatus and/or device (e.g., magnetic discs, optical disks,memory, Programmable Logic Devices (PLDs)) used to provide machineinstructions and/or data to a programmable processor, including amachine-readable medium that receives machine instructions as amachine-readable signal. The “machine-readable medium” and“computer-readable medium,” however, do not include transitory signals.The term “machine-readable signal” refers to any signal used to providemachine instructions and/or data to a programmable processor.

As used herein, a processor may include any programmable systemincluding systems using micro-controllers, reduced instruction setcircuits (RISC), application specific integrated circuits (ASICs), logiccircuits, and any other circuit or processor capable of executing thefunctions described herein. The above examples are examples only, andare thus not intended to limit in any way the definition and/or meaningof the term “processor.”

As used herein, the terms “software” and “firmware” are interchangeable,and include any computer program stored in memory for execution by aprocessor, including RAM memory, ROM memory, EPROM memory, EEPROMmemory, and non-volatile RAM (NVRAM) memory. The above memory types areexamples only, and are thus not limiting as to the types of memoryusable for storage of a computer program.

In one embodiment, a computer program is provided, and the program isembodied on a computer readable medium. In an exemplary embodiment, thesystem is executed on a single computer system, without needing aconnection to a sever computer. In a further embodiment, the system isbeing run in a Windows® environment (Windows is a registered trademarkof Microsoft Corporation, Redmond, Wash.). In yet another embodiment,the system is run on a mainframe environment and a UNIX® serverenvironment (UNIX is a registered trademark of X/Open Company Limitedlocated in Reading, Berkshire, United Kingdom). The application isflexible and designed to run in various different environments withoutcompromising any major functionality.

In some embodiments, the system includes multiple components distributedamong a plurality of computing devices. One or more components may be inthe form of computer-executable instructions embodied in acomputer-readable medium. The systems and processes are not limited tothe specific embodiments described herein. In addition, components ofeach system and each process can be practiced independent and separatefrom other components and processes described herein. Each component andprocess can also be used in combination with other assembly packages andprocesses. The present embodiments may enhance the functionality andfunctioning of computers and/or computer systems.

Although specific embodiments of the present disclosure have beendescribed, it will be understood by those of skill in the art that thereare other embodiments that are equivalent to the described embodiments.Accordingly, it is to be understood that the present disclosure is notto be limited by the specific illustrated embodiments.

1. A computer system for providing reimbursement controls to insurancepolicies, the computer system including at least one processor incommunication with at least one memory device, the system configured to:predict one or more item categories and associated values by applying atrained computing model to user data, the trained computing model beingtrained by at least one data selected from a group consisting of imagedata, personal possession data, claim data, and reimbursement data;generate a plurality of predesignated policy levels for a user based atleast in part upon the user data and the one or more predicted itemcategories and associated values, wherein each predesignated policylevel of the plurality of predesignated policy levels is associated witha maximum reimbursement amount; prompt the user to select apredesignated policy level of the plurality of predesignated policylevels, the predesignated policy level including an insurance policycovering insured one or more item categories up to the associatedmaximum reimbursement amount; receive a claim from the user; determine,in response to the claim and based at least in part upon the selectedpredesignated policy level and the associated maximum reimbursementamount, an actual reimbursement amount for each insured item category ofthe claim and the insured one or more item categories; generate one ormore reimbursement controls based on the actual reimbursement amount andthe insured one or more item categories; program a payment device toinclude the one or more reimbursement controls for providing the actualreimbursement amount, wherein the one or more reimbursement controlsinclude one or more rules that restrict the user to purchase one or morereplacement items based upon the one or more insured item categories;and request to issue the payment device to the user; wherein the paymentdevice is configured to determine a purchase item category for onereplacement item of the one or more replacement items based at least inpart upon at least one selected from a group consisting of a merchantcategory and a stock keeping unit (SKU) of the one replacement item; andwherein the payment device is further configured to decline the onepurchase item if the purchase item category for the one replacement itemdoes not match each insured item category of the insured one or moreitem categories.
 2. The computer system of claim 1, wherein to generatethe plurality of predesignated policy levels includes to: receive theuser data associated with the user, the user data including demographicdata and location data; predict one or more values associated with oneor more items owned by the user in each insured item category of the oneor more item categories based at least in part upon the received userdata; and generate the plurality of predesignated policy levels based atleast in part upon the received user data and the predicted one or morevalues of the one or more items owned by the user in each insured itemcategory of the one or more item categories, wherein the plurality ofpredesignated policy levels includes different coverage amount for eachinsured item category, and wherein the plurality of predesignated policylevels includes a basic coverage amount, an intermediate coverageamount, and a premium coverage amount.
 3. The computer system of claim1, wherein the payment device is a prepaid card, and wherein the prepaidcard includes one or more rules that restricts the user to purchase theone or more replacement items associated with the respective insureditem category and the actual reimbursement amount.
 4. (canceled)
 5. Thecomputer system of claim 1, wherein the at least one processor isfurther configured to: receive a claim event associated with the claim,wherein the claim event includes one of a fire, a natural disaster,flooding, burglary, and theft; and determine a percentage of damageassociated with the one or more items included in each insured itemcategory of the insured one or more item categories.
 6. The computersystem of claim 5, wherein to determine the reimbursement amount foreach insured item category includes to: adjust the actual reimbursementamount for each insured item category based at least in part upon thedetermined percentage of damage.
 7. The computer system of claim 1,wherein the at least one processor is further configured to: retrieve,from the at least one memory device, in response to receiving the claim,the predesignated policy level selected by the user.
 8. The computersystem of claim 1, wherein the insured one or more item categoriesincludes one of electronics, clothing, personal items, furniture,housewares, and specialty items.
 9. A computer-implemented method forproviding reimbursement controls to insurance policies, said methodimplemented using a computer system including at least one processor incommunication with at least one memory device, said method comprising:predicting one or more item categories and associated values by applyinga trained computing model to user data, the trained computing modelbeing trained by at least one data selected from a group consisting ofimage data, personal possession data, claim data, and reimbursementdata; generating a plurality of predesignated policy levels for a userbased at least in part upon the user data and the one or more predicteditem categories and associated values, wherein each predesignated policylevel of the plurality of predesignated policy levels is associated witha maximum reimbursement amount; prompting the user to select apredesignated policy level of the plurality of predesignated policylevels, the predesignated policy level including an insurance policycovering insured one or more item categories up to the associatedmaximum reimbursement amount; receiving a claim from the user;determining, in response to the claim and based at least in part uponthe selected predesignated policy level and the associated maximumreimbursement amount, an actual reimbursement amount for each insureditem category of the insured one or more item categories; generating oneor more reimbursement controls based on the actual reimbursement amountand the insured one or more item categories; programming a paymentdevice to include the one or more reimbursement controls for providingthe actual reimbursement amount, wherein the one or more reimbursementcontrols include one or more rules that restrict the user to purchaseone or more replacement items based upon the one or more insured itemcategories; and request to issue the payment device to the user; whereinthe payment device is configured to determine a purchase item categoryfor one replacement item of the one or more replacement items based atleast in part upon at least one selected from a group consisting of amerchant category and a stock keeping unit (SKU) of the one replacementitem; and wherein the payment device is configured to decline the onepurchase item if the purchase item category for the one replacement itemdoes not match each insured item category of the insured one or moreitem categories.
 10. The method of claim 9, wherein generating theplurality of predesignated policy levels includes: receiving the userdata associated with the user, the user data including demographic dataand location data; predicting one or more values associated with one ormore items owned by the user in each insured item category of the one ormore item categories based at least in part upon the received user data;and generating the plurality of predesignated policy levels based atleast in part upon the received user data and the predicted one or morevalues of the one or more items owned by the user in each insured itemcategory of the one or more item categories, wherein the plurality ofpredesignated policy levels includes different coverage amount for eachinsured item category, and wherein the plurality of predesignated policylevels includes a basic coverage amount, an intermediate coverageamount, and a premium coverage amount.
 11. The method of claim 9,wherein the payment device is a prepaid card, and wherein the prepaidcard includes one or more rules that restricts the user to purchase theone or more replacement items associated with the respective insureditem category and the actual reimbursement amount.
 12. (canceled) 13.The computer-implemented method of claim 9 further comprising: receivinga claim event associated with the claim, wherein the claim eventincludes a fire, a natural disaster, flooding, burglary, and theft; anddetermining a percentage of damage associated with the one or more itemsincluded in each insured item category of the insured one or more itemcategories.
 14. The method of claim 13 further comprising: adjusting theactual reimbursement amount for each insured item category based atleast in part upon the determined percentage of damage.
 15. The methodof claim 9 further comprising: retrieving, from the at least one memorydevice, in response to receiving the claim, the predesignated policylevel selected by the user.
 16. At least one non-transitorycomputer-readable storage media having computer-executable instructionsembodied thereon, wherein when executed by at least one processor incommunication with at least one memory device, the computer-executableinstructions cause the processor to: predict one or more item categoriesand associated values by applying a trained computing model to userdata, the trained computing model being trained by at least one dataselected from a group consisting of image data, personal possessiondata, claim data, and reimbursement data; generate a plurality ofpredesignated policy levels for a user based at least in part upon theuser data and the one or more predicted item categories and associatedvalues, wherein each predesignated policy level of the plurality ofpredesignated policy levels is associated with a maximum reimbursementamount; prompt the user to select a predesignated policy level of theplurality of predesignated policy levels, the predesignated policy levelincluding an insurance policy covering insured one or more itemcategories up to the associated maximum reimbursement amount; receive aclaim from the user; determine, in response to the claim and based atleast in part upon the selected predesignated policy level and theassociated maximum reimbursement amount, an actual reimbursement amountfor each insured item category of the one or more item categories;generate one or more reimbursement controls based on the actualreimbursement amount and the insured one or more item categories;program a payment device to include the one or more reimbursementcontrols for providing the actual reimbursement amount, wherein the oneor more reimbursement controls include one or more rules that restrictthe user to purchase one or more replacement items based upon the one ormore insured item categories; and request to issue the payment device tothe user; wherein the payment device is configured to determine apurchase item category for one replacement item of the one or morereplacement items based at least in part upon at least one selected froma group consisting of a merchant category and a stock keeping unit (SKU)of the one replacement item; and wherein the payment device is furtherconfigured to decline the one purchase item if the purchase itemcategory for the one replacement item does not match each insured itemcategory of the insured one or more item categories.
 17. The storagemedia of claim 16, wherein to generate the plurality of predesignatedpolicy levels includes to: receive the user data associated with theuser, the user data including demographic data and location data;predict one or more values associated with one or more items owned bythe user in each insured item category of the one or more itemcategories based at least in part upon the received user data; andgenerate the plurality of predesignated policy levels based at least inpart upon the received user data and the predicted one or more values ofthe one or more items owned by the user in each insured item category ofthe one or more item categories, wherein the plurality of predesignatedpolicy levels includes different coverage amount for each insured itemcategory, and wherein the plurality of predesignated policy levelsincludes a basic coverage amount, an intermediate coverage amount, and apremium coverage amount.
 18. The storage media of claim 16, wherein thepayment device is a prepaid card, and wherein the prepaid card includesone or more rules that restricts the user to purchase the one or morereplacement items associated with the respective insured item categoryand the actual reimbursement amount.
 19. (canceled)
 20. The storagemedia of claim 16, wherein the computer-executable instructions furthercause the processor to: receive a claim event associated with the claim,wherein the claim event includes one of a fire, a natural disaster,flooding, burglary, and theft; determine a percentage of damageassociated with the one or more items included in each insured itemcategory of the insured one or more item categories; and adjust theactual reimbursement amount for each insured item category based atleast in part upon the determined percentage of damage.